Machine learning framework for maxillofacial preoperative planning
Artificial intelligence in biomedical image processing is approaching human performance at object localization while saving immense amounts of time for the physicians. These AI algorithms have the potential to automatically segment anatomical structures for preoperative planning. However, there are currently no tools such tools on the market. This study propose a framework of generating effective